#dataRetrieval

The #USGS tool #dataRetrieval has reach 100,000 downloads on CRAN! Released in 2014, this package makes it easy to retrieve @USGS_Water hydrologic data with #rstats. #hydrology #openscience #opengov #30DayChartChallenge

Mastering MongoDB Data Retrieval: `find()` or `findOne()`? Choose your method wisely based on the depth of exploration you need! #MongoDB #DataRetrieval #FindVsFindOne"

When are rivers wet or dry? To answer this we look at average daily streamflow across 1,865 @USGS_Water gage sites, over 70 years. Day 11 #30DayChartChallenge 📅 Circular by Caelan Simeone from @USGS_OR #rstats code: #DataRetrieval

Mapping rivers just got easier! 🗺️💧 Our new blog displays how to create beautiful and reproducible river maps. #nhdplusTools #dataRetrieval #ggplot #rstats 🔗:

Discover how AI is transforming data acquisition and real-time data retrieval! From faster insights to smarter searches, dive into the future of data with this insightful read. #AI #DataRetrieval #DefineYourOwnData

Looking to level up your data analysis workflows? Read all about “Writing functions that work for you!” This is the first in a new blog series, “Reproducible Data Science with R” #rstats #WDFN #WaterDataForTheNation #Blog

We use #reproducible code examples throughout the blog, and rely on the open R package #DataRetrieval to demonstrate concepts using real @USGS_Water data Learn more about {dataRetrieval} here: #OpenScience #hydrology

A multi-institutional team of researchers led by @MIT has found a new way to speed up #dataretrieval in large databases using #machinelearning. #bigDATAwire

In #DataRetrieval, applicants from the US led in terms of share (48%), while EPO member states (23% share) continue to steadily innovate in this field. Further details: #EPOPatentIndex

Title: Unleash the Power of SQL: A Thread for Data Enthusiasts! 🔍💡

2/8: SQL is a language designed for managing and manipulating structured data in relational databases. It allows you to store, retrieve, update, and delete data with ease. Think of it as the backbone of many applications and systems that rely on data. 🗃️💪 #DataManagement

3/8: Want to retrieve data from a database? The SELECT statement is your go-to! 📊 Just specify the columns you need, the table(s) to query, and any filters or conditions. Voila! You'll get the data you desire. #SELECT #DataRetrieval #SQLQuery

In #dataretrieval, 48% of European patent applications came from the US in 2019. 23% came from EPO member states.

💡 This PDF includes a set of useful notes for data retrieval with SQL: #SQL #DataRetrieval #BigData